import torch
import numpy as np
import torch.nn as nn
import torch.nn.functional as F
import torch.optim as optim
import os

class MLP(nn.Module):
    def __init__(self):
        super(MLP, self).__init__()
        self.fc = nn.Linear(141, 1)
        self.sm = nn.Sigmoid()

    def forward(self, x):
        out = self.fc(x)
        out = self.sm(out)
        return out